Staff ML Scientist: Ranking & Personalization (Remote)

Depop; Greater London; Hybrid; GBP 70,000 - 95,000; Full time

Benefits offered by this job

PMI and cash plan healthcare access

Subsidised counselling and coaching

Cycle to Work scheme

25 days annual leave

Flexible working options

18 weeks paid parental leave

Life Insurance

Job summary

A leading circular fashion marketplace is seeking a Staff ML Scientist to join their Ranking ML team in the UK. This role involves leading the design and deployment of advanced ranking algorithms, working collaboratively across various teams to deliver innovative solutions. Candidates should have significant experience in machine learning, especially in learning-to-rank models, and be proficient in Python along with ML frameworks like PyTorch or TensorFlow. Join us to drive impactful initiatives and mentor others in a dynamic work environment.

Qualifications

• Significant experience as a Machine Learning Scientist with measurable impact.
• Experience in designing learning-to-rank models.
• Deep understanding of machine learning concepts.
• Ability to productionize ML models from prototyping to deployment.
• Advanced programming skills in Python.

Responsibilities

• Lead design and deployment of advanced ranking models.
• Collaborate with product, engineering, and data teams.
• Manage end-to-end lifecycle of ML projects.
• Research and integrate emerging ML techniques.
• Mentor and coach team members.

Skills

Machine Learning

Python

Communication

Mentoring

Tools

PyTorch

TensorFlow

Job description

A leading circular fashion marketplace is seeking a Staff ML Scientist to join their Ranking ML team in the UK. This role involves leading the design and deployment of advanced ranking algorithms, working collaboratively across various teams to deliver innovative solutions. Candidates should have significant experience in machine learning, especially in learning-to-rank models, and be proficient in Python along with ML frameworks like PyTorch or TensorFlow. Join us to drive impactful initiatives and mentor others in a dynamic work environment.